Helical’s expertise on Talend Data Quality (DQ) Module
It is important for the organizations to assess fitness and quality of their data because if the data is of a poor quality, or managed in structures that cannot be integrated to meet the needs of the enterprise, business processes and decision-making suffer.
Talend’s data quality tool profiles, cleanses, and masks data, while monitoring data quality over time, in any format or size. Data de-duplication, validation, and standardization creates clean data for access, reporting, analytics, and operations. Enrich data with external sources for postal validation, business identification, credit score information, and more.
Talend DQ simplifies clean up to turn data into value. Shape unstructured data with integrated parsing technology, protect sensitive data with masking, and customize a dictionary of business terms to auto-discover data. Apply data stewardship activities to create trusted information and deliver reliable data to your most valuable data assets with confidence. Using Talend DQ, you can perform column analysis, table analysis, redundancy analysis, correlation analysis. Some of the common kind of checks are checking and handling null values, checking for data types, checking for data limits, checking for data formats etc.
Our team of Talend experts can help you in writing any kind of Talend ETL jobs to take care of your data processing activity at an extremely cost effective rates. Get in touch now to learn more.
